Have 3 years of experience in Data Science + Software Engineering, worked on 10+ AI / NLP projects. Problem solver with hands on Experience in machine learning, Deep learning and Natural language Processing algorithms and techniques. Primary skill set - 1. Python - NLTK, Sklearn, Gensim, Spacy, Stanford coreNlp, Numpy, Pandas, Keras, Tensorflow, Flask, 2. Natural Language Processing (NLP) - text cleaning and processing, POS tagging, NER tagging, lemmatizing, stemming, Topic modeling using LSI and LDA, Text classification, Semantic similarity, cosine similarity, TF-IDF, Word2Vec, Doc2Vec, AllenNlp, Elmo embeddings. 3. Machine Learning - Logistic regression, SVM, Random Forest, KNN etc. 4. Deep Learning - RNN- LSTM, CNN, Transfer learning using word embeddings. 5. Database - Sql, Nosql - MongoDB, Apache Solr, Redis